Update app.py

app.py

@@ -150,7 +150,7 @@ async def predict(predictionFeatures: RentalFeatures):
     #     predictionFeatures.winter_tires or 0,
     # ]
     try:
-        car_caracteristic = pd.DataFrame([predictionFeatures.model_dump()])
+        car_caracteristic = pd.DataFrame(predictionFeatures.model_dump())
         #car_caracteristic = pd.DataFrame({"Car": pf})
         # Log model from mlflow